Evidence map›Paper›PMID 30035252›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2018

Innovative Informatics Approaches for Peripheral Artery Disease: Current State and Provider Survey of Strategies for Improving Guideline-Based Care.

Alisha P Chaudhry, Naveed Afzal, Mohamed M Abidian, Vishnu Priya Mallipeddi, Ravikumar K Elayavilli, Christopher G Scott, Iftikhar J Kullo, Paul W Wennberg, Joshua J Pankratz, Hongfang Liu and 2 more

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Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment.Mayo Clinic proceedings. Innovations, quality & outcomes · 2019
    Article
  7. Provider Survey on Automated Clinical Decision Support System for Cardiovascular Risk Assessment.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  8. Article
  9. From Taking First Steps to Hitting Our Stride.Mayo Clinic proceedings. Innovations, quality & outcomes · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Alisha P ChaudhryDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Naveed AfzalDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Mohamed M AbidianDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Vishnu Priya MallipeddiDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Ravikumar K ElayavilliDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Christopher G ScottDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Iftikhar J KulloDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Paul W WennbergDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Joshua J PankratzDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Hongfang LiuDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Rajeev ChaudhryDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.
Adelaide M Arruda-OlsonDepartment of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and Knowledge Management (R.C.), Mayo Clinic and Mayo Foundation, Rochester, MN.

Funding

Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
EMR Phenotypes and Community Engaged Genomic AssociationsU01HG004599 · NHGRI · MAYO CLINIC ROCHESTER · PI CHUTE, CHRISTOPHER G · 2007 to 2010
$3.7M
Natural language processing for clinical and translational researchR01GM102282 · NIGMS · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG, PAKHOMOV, SERGUEI VS · 2013 to 2016
$2.5M
Novel Informatics Approaches for Ascertainment of PAD Status and Adverse OutcomesK01HL124045 · NHLBI · MAYO CLINIC ROCHESTER · PI ARRUDA-OLSON, ADELAIDE MARIA MARTINS · 2015 to 2019
$820k
NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01 HG006379NHLBI NIH HHS K01 HL124045NIA NIH HHS R01 AG034676NIGMS NIH HHS R01 GM102282
6 · The paper itself

Abstract

objectiveTo quantify compliance with guideline recommendations for secondary prevention in peripheral artery disease (PAD) using natural language processing (NLP) tools deployed to an electronic health record (EHR) and investigate provider opinions regarding clinical decision support (CDS) to promote improved implementation of these strategies. PATIENTS AND

methodsNatural language processing was used for automated identification of moderate to severe PAD cases from narrative clinical notes of an EHR of patients seen in consultation from May 13, 2015, to July 27, 2015. Guideline-recommended strategies assessed within 6 months of PAD diagnosis included therapy with statins, antiplatelet agents, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and smoking abstention. Subsequently, a provider survey was used to assess provider knowledge regarding PAD clinical practice guidelines, comfort in recommending secondary prevention strategies, and potential role for CDS.

resultsAmong 73 moderate to severe PAD cases identified by NLP, only 12 (16%) were on 4 guideline-recommended strategies. A total of 207 of 760 (27%) providers responded to the survey; of these 141 (68%) were generalists and 66 (32%) were specialists. Although 183 providers (88%) managed patients with PAD, 51 (25%) indicated they were uncomfortable doing so; 138 providers (67%) favored the development of a CDS system tailored for their practice and 146 (71%) agreed that an automated EHR-derived mortality risk score calculator for patients with PAD would be helpful.

conclusionNatural language processing tools can identify cases from EHRs to support quality metric studies. Findings of this pilot study demonstrate gaps in application of guideline-recommended strategies for secondary risk prevention for patients with moderate to severe PAD. Providers strongly support the development of CDS systems tailored to assist them in providing evidence-based care to patients with PAD at the point of care.

Identifiers

PMID30035252
PMCPMC6051413

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.